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--- |
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library_name: transformers |
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license: mit |
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base_model: microsoft/git-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: git-base-pokemon |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# git-base-pokemon |
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This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4035 |
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- Wer Score: 1.5183 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer Score | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:| |
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| 7.2724 | 2.0 | 50 | 4.6456 | 10.9317 | |
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| 2.6854 | 4.0 | 100 | 0.8998 | 10.6017 | |
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| 0.5411 | 6.0 | 150 | 0.4014 | 0.9533 | |
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| 0.2944 | 8.0 | 200 | 0.3795 | 0.945 | |
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| 0.1998 | 10.0 | 250 | 0.3885 | 1.17 | |
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| 0.1466 | 12.0 | 300 | 0.3911 | 0.9633 | |
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| 0.1161 | 14.0 | 350 | 0.3987 | 0.9633 | |
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| 0.0994 | 16.0 | 400 | 0.4011 | 1.24 | |
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| 0.0891 | 18.0 | 450 | 0.4027 | 1.2417 | |
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| 0.0838 | 20.0 | 500 | 0.4035 | 1.5183 | |
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### Framework versions |
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- Transformers 4.53.0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.2 |
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